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Knightec Group career site
Thesis · Sundsvall

THESIS: AI-Driven Data Pipeline Optimization in Edge Computing Environments

Join us for your thesis work! Gain hands-on experience, work on real projects, and develop your skills in a supportive and innovative environment!

High level description

Modern data engineering faces unprecedented challenges as organizations increasingly deploy IoT devices and edge computing infrastructure that generate massive volumes of distributed data.

Traditional centralized data processing approaches struggle with the latency, bandwidth, and reliability constraints inherent in edge-to-cloud data pipelines. This thesis explores the application of artificial intelligence and machine learning techniques to automatically optimize data processing workflows across hybrid edge-cloud architectures.

Who are we looking for?

Bachelor/Master of Science in Computer Science/Engineering

Project description

The thesis will involve designing and implementing an AI-powered optimization framework for edge computing data pipelines. Students will develop machine learning models that can predict optimal data processing strategies based on historical performance data, current system metrics, and environmental conditions.

Purpose and Scope

  • Develop AI algorithms for autonomous optimization of edge-to-cloud data pipeline configurations.
  • Investigate the impact of intelligent data routing and compression on system performance and resource utilization.
  • Analyze trade-offs between data processing latency, energy efficiency, and accuracy in distributed environments.
  • Validate proposed solutions through experimental evaluation using real-world edge computing scenario.

An Exciting Journey with Knightec Group
Semcon and Knightec have joined forces as Knightec Group. Together, we are Northern Europe’s leading strategic partner in product and digital service development. With a unique combination of cross-functional expertise and a holistic business understanding, we help our clients realize their strategies – from idea to complete solution.

Practical Information
This is a thesis position, located at our office in Sundsvall. Start date January or March 2026.

Please submit your application as soon as possible, but no later than 2025-11-30. If you have any questions, you are welcome to contact Johanna Edström. Note that due to GDPR, we only accept applications through our careers page.

Business unit
Thesis
Role
Bachelor thesis
Locations
Sundsvall
Picture of Johanna Edström
Contact Johanna Edström Team Manager – Thesis
Thesis · Sundsvall

THESIS: AI-Driven Data Pipeline Optimization in Edge Computing Environments

Join us for your thesis work! Gain hands-on experience, work on real projects, and develop your skills in a supportive and innovative environment!

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